61 research outputs found
Influence of Portfolio Management in Decision-Making
Purpose: Today’s manufacturing facilities are challenged by highly customized products and just in time manufacturing and delivery of these products. In this study, a batch scheduling problem has been addressed to enable on-time completion of customer orders in a lean manufacturing environment. The problem is optimizing the partitioning of product components into batches and scheduling of the resulting batches where each customer order is received as a set of products made of various components. Design/methodology/approach: Three different mathematical models for minimization of total earliness and tardiness of customer orders are developed to provide on-time completion of customer orders and also, to avoid excess final product inventory. The first model is a non-linear integer programming model whereas the second is a linearized version of the first. Finally, to solve larger sized instances of the problem, an alternative linear integer model is presented. Findings: Computational study using a suit set of test instances showed that the alternative linear integer model is able to solve all test instances in varying sizes within quite shorter computer times compared to the other two models. It has also been showed that the alternative model is able to solve moderate sized real-world problems. Originality/value: The problem under study differentiates from existing batch scheduling problems in the literature owing to the inclusion of new circumstances that are present in real-world applications. Those are: customer orders consisting of multi-products made of multi-parts, processing of all parts of the same product from different orders in the same batch, and delivering the orders only when all related products are completed. This research also contributes to the literature of batch scheduling problem by presenting new optimization models.Peer Reviewe
AN ANALYSIS OF RISK EVENTS IN THE OIL-TANKER MAINTENANCE BUSINESS
This work presents the results of an investigation into risk events and their respective causes, carried out in ship maintenance undertakings in the logistical sector of the Brazilian oil industry. Its theoretical, conceptual positioning lies in those aspects related to risk management of the undertakings as instruments of support in decision making by executives in the tanker-maintenance business. The case-study method was used as an alternative methodology with a qualitative approach of an exploratory nature and, for the presentation of data, a descriptive format was chosen. Through the analysis of 75 risk events in projects of tanker docking it was possible to extract eight of the greatest relevance. The risk analysis facilitated the identification of actions aimed at their mitigation. As a conclusion it was possible to propose a risk-framework model in four categories, HSE (health, safety and the environment), technicians, externalities and management, designed to provide tanker-docking business executives and administrators, with evidence of actions to assist in their decision-making processes. Finally, the authors identified proposals for further study as well as showing the principal limitations of the study
INNOVATIVE PROJECT MANAGEMENT FROM A CONTINGENCY PERSPECTIVE: THEORY-CONCEPTUAL ANALYSIS AND MODEL PROPOSITION
A intensificação de atividades inovadoras e não-rotineiras nas organizações tem estimulado a busca pelos fatores que influenciam o sucesso de um projeto. No entanto, a premissa de que um conjunto de fatores possa ser aplicável a todos os tipos de projetos tem sido fortemente questionada, dadas à s diferenças fundamentais existentes entre eles. Este artigo apresenta uma revisão e análise da literatura de gerenciamento de projetos inovadores a partir de uma perspectiva contingencial. Foram levantados artigos nas bases de dados cientÃficas considerando-se duas grandes vertentes: fatores crÃticos de sucessos e tipologias de projetos. Com base na análise crÃtica da literatura realizou-se uma proposição de abordagem contingencial para gestão de projetos
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